Genetic variants associated with angiotensin-converting enzyme inhibitor-induced cough: a genome-wide association study in a Swedish population [0.03%]
血管紧张素转换酶抑制剂引起咳嗽的遗传变异：瑞典人群的全基因组关联研究
Pär Hallberg,Matilda Persson,Tomas Axelsson et al.
Pär Hallberg et al.
Aim: We conducted a genome-wide association study on angiotensin-converting enzyme inhibitor-induced cough and used our dataset to replicate candidate genes identified in previous studies. ...
Donors FMO3 polymorphisms affect tacrolimus elimination in Chinese liver transplant patients [0.03%]
FMO3基因多态性影响中国肝移植患者的他克莫司消除率
Lei Ren,Mujian Teng,Tao Zhang et al.
Lei Ren et al.
Aim: Flavin-containing monooxygenase (FMO) variants were potentially involved in tacrolimus metabolism in kidney transplantion. The influences of FMO3 genotypes on tacrolimus elimination in Chinese liver transplant patien...
Correlations between the enantio- and regio-selective metabolisms of warfarin [0.03%]
华法林立体选择性和区域选择性代谢的相关性研究
Harumi Takahashi,Minami Ohara,Soichi Shibata et al.
Harumi Takahashi et al.
Aim: To clarify whether the activities of multiple CYPs associated with warfarin metabolism would be correlated with each other. Methods: ...
Fine-mapping of antipsychotic response genome-wide association studies reveals novel regulatory mechanisms [0.03%]
精神药物反应的全基因组关联研究精细定位揭示了新的调控机制
Ellen S Ovenden,Britt I Drögemöller,Lize van der Merwe et al.
Ellen S Ovenden et al.
Aim: Noncoding variation has demonstrated regulatory effects on disease treatment outcomes. This study investigated the potential functionality of previously implicated noncoding variants on schizophrenia treatment respon...
Ana M Peiró,César Margarit,Adrián LLerena
Ana M Peiró
Are gene polymorphisms related to treatment outcomes of methotrexate in patients with rheumatoid arthritis? A systematic review and meta-analysis [0.03%]
甲氨蝶呤治疗类风湿关节炎疗效相关基因多态性的系统评价和meta分析
Yuehong Chen,Kun Zou,Jianhong Sun et al.
Yuehong Chen et al.
Aim: Identifying the predictors of responsiveness and adverse events in methotrexate (MTX) treated patients with rheumatoid arthritis (RA) has been the focus of most concern, but still without consistent consensus. ...
Trough concentration and ABCG2 polymorphism are better to predict imatinib response in chronic myeloid leukemia: a meta-analysis [0.03%]
伊马替尼治疗慢性髓性白血病的药效预测因素：荟萃分析结果
Zhi-Ping Jiang,Xie-Lan Zhao,Naoto Takahashi et al.
Zhi-Ping Jiang et al.
Aim: The present study aimed to conduct a series of meta-analyses to investigate the influence of imatinib trough concentration (C0), as well as ABCB1 and ABCG2 polymorphisms, on the clinical response in patients with chr...
Meta-Analysis
Pharmacogenomics. 2017 Jan;18(1):35-56. DOI:10.2217/pgs-2016-0103 2017
Fatty acid amide hydrolase-morphine interaction influences ventilatory response to hypercapnia and postoperative opioid outcomes in children [0.03%]
脂肪酸酰胺水解酶-吗啡相互作用影响儿童术后呼吸和阿片类药物结果
Vidya Chidambaran,Valentina Pilipenko,Kristie Spruance et al.
Vidya Chidambaran et al.
Aim: Fatty acid amide hydrolase (FAAH) degrades anandamide, an endogenous cannabinoid. We hypothesized that FAAH variants will predict risk of morphine-related adverse outcomes due to opioid-endocannabinoid interactions. ...
Pharmacogenetics of ustekinumab in patients with moderate-to-severe plaque psoriasis [0.03%]
乌司奴单抗治疗中重度斑块状银屑病的药物基因组学研究
Rocío Prieto-Pérez,Mar Llamas-Velasco,Teresa Cabaleiro et al.
Rocío Prieto-Pérez et al.
Aim/Materials & methods: Few studies have evaluated the influence of pharmacogenetics in psoriatic patients treated with ustekinumab. We evaluated 121 polymorphisms to study a possible association between these SNPs and the response to uste...
Clinical impact of the CYP3A5 6986A>G allelic variant on kidney transplantation outcomes [0.03%]
CYP3A5 基因多态性对肾移植受者他克莫司剂量及预后的影响
Adrien Flahault,Dany Anglicheau,Marie-Anne Loriot et al.
Adrien Flahault et al.
Aim: Meta-analyses and large cohort studies provide confusing results on the association of the CYP3A5 6986A>G allelic variant and adverse outcomes in kidney transplant recipients under tacrolimus-based immunosuppressive ...
Observational Study
Pharmacogenomics. 2017 Jan;18(2):165-173. DOI:10.2217/pgs-2016-0146 2017